Triple

T2380216
Position Surface form Disambiguated ID Type / Status
Subject The Hangover Part III E46293 entity
Predicate character P662 FINISHED
Object Phil Wenneck E330062 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Phil Wenneck | Statement: [The Hangover Part III, character, Phil Wenneck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Wenneck
Context triple: [The Hangover Part III, character, Phil Wenneck]
  • A. Phil Wenneck chosen
    Phil Wenneck is a charismatic, fast-talking schoolteacher and member of the "Wolfpack" whose misadventures drive much of the comedy in The Hangover film series.
  • B. Michael Potts
    Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
  • C. Jeffrey Fuller
    Jeffrey Fuller is known primarily as the son of prominent American lawyer, feminist, and civil liberties advocate Crystal Eastman.
  • D. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • E. Don Brautigam
    Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7b60c8c819080e4f682e4362a93 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb56c2e081909168c0fef26bff44 completed March 13, 2026, 7:23 a.m.
Created at: March 4, 2026, 7:57 p.m.